Absolute Eosinophil Count and Albumin–Globulin Ratio as Predictors of Delayed Graft Function in Deceased Donor Kidney Transplant: A Retrospective Analysis

Background: Delayed graft function (DGF) is a frequent early complication after deceased donor kidney transplantation (DDKT), leading to prolonged hospitalization, increased risk of acute rejection, and reduced graft survival. Reliable and easily measurable preoperative biomarkers for DGF prediction remain limited. This study aimed to evaluate the predictive value of pre-operative Absolute Eosinophil Count (AEC) and Albumin-to-Globulin Ratio (AGR) for DGF in DDKT recipients. Methods: A retrospective analysis was conducted on all DDKT procedures performed at our institution between January 2018 and December 2023. Patients were divided into two groups: Group 1 (DGF) and Group 2 (non-DGF). DGF was defined as the requirement for hemodialysis within the first seven postoperative days. Demographic, clinical, and laboratory data—including pre-operative AEC and AGR—were collected and compared between groups. Statistical analysis was performed using appropriate parametric and nonparametric tests. Receiver operating characteristic (ROC) curves were generated to assess the individual and combined predictive performance of AEC and AGR for DGF. Results: A total of 38 patients underwent DDKT, comprising 27 males (71.05%) and 11 females (28.95%), with a mean age of 43.3 ± 9.41 years. Fifteen patients (39.47%) developed DGF. The mean AEC and AGR were significantly lower in the DGF group compared to the non-DGF group (AEC: 0.20 ± 0.16 vs. 0.40 ± 0.35, p = 0.04; AGR: 1.43 ± 0.22 vs. 1.66 ± 0.39, p = 0.02). ROC analysis demonstrated that both AEC (p = 0.04) and AGR (p = 0.04) were significant predictors of DGF. Combining both parameters resulted in a higher area under the curve (AUC), improved sensitivity, and enhanced negative predictive value (NPV) compared to either marker alone. Conclusions: DGF occurred in nearly two-fifths of DDKT recipients in this cohort. Patients with lower preoperative AEC and AGR were more likely to develop DGF, suggesting that these easily available hematological and biochemical indices can serve as potential preoperative predictors of early graft dysfunction. Future multicentric prospective studies are warranted to validate these findings and explore their integration into DGF risk prediction models.